Mashuk-KMV vs Biolog: result 1-3 and analysis
Second League - Group 1Group 1 - 29Kick-off on May 16, 2021 at 01:00 PM (UTC)Central'nyj Stadion Mashuk, Pyatigorsk
Full time
What was the result of Mashuk-KMV vs Biolog?
Biolog won 1-3 on May 16, 2021.
Goalscorers
- 12′D. LesnikovBiolog
- 18′Insar SalakhetdinovBiolog
- 20′D. LesnikovBiolog
- 75′M. DziovMashuk-KMV
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mashuk-KMV have 7 wins, 1 draws and 7 defeats; Biolog have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2021 | Essentuki(away) | 4-1 | Second League - Group 1 |
| May 4, 2021 | Kuban Kholding(home) | 1-2 | Second League - Group 1 |
| Apr 27, 2021 | Krasnodar III(away) | 1-3 | Second League - Group 1 |
| Apr 21, 2021 | Legion Dynamo(home) | 0-0 | Second League - Group 1 |
| Apr 16, 2021 | SKA Rostov(away) | 0-4 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2021 | Tuapse(home) | 4-1 | Second League - Group 1 |
| May 4, 2021 | Inter Cherkessk(away) | 5-0 | Second League - Group 1 |
| Apr 27, 2021 | Urozhay(home) | 0-1 | Second League - Group 1 |
| Apr 21, 2021 | Dinamo Makhachkala(away) | 0-1 | Second League - Group 1 |
| Apr 15, 2021 | Dinamo Stavropol(home) | 0-1 | Second League - Group 1 |
What does the head-to-head say?
Across the last 1 meetings: 0 Mashuk-KMV win(s), 0 draw(s), 1 Biolog win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 31, 2020 | Biolog 5-1 Mashuk-KMV | Second League - Group 1 |
How many goals should we expect?
Mashuk-KMV score 1.5 and concede 1.4 goals per match over their last 15; Biolog score 1.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mashuk-KMV | 1.5 | 1.4 | 3 | 9/15 | 10/15 |
| Biolog | 1.9 | 1.4 | 3 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy